//! AI Orchestration Actor
//! 
//! This actor manages AI services integration,
//! providing intelligent test generation and analysis capabilities.

use crate::actors::messages::*;
use crate::error::Result;
use crate::models::{
    ai::{AIPrompt, AIResponse as AIResponseModel},
    testcase::TestCase,
    step::StepResult,
    summary::TestSummary,
    Value, ValueMap,
};
use coerce::actor::Actor;
use coerce::actor::context::ActorContext;
use coerce::actor::message::Handler;
use async_trait::async_trait;

/// AI Orchestration Actor
#[derive(Debug)]
pub struct AIOrchestrationActor {
    /// AI service configuration
    config: Option<ValueMap>,
}

impl AIOrchestrationActor {
    /// Create a new AI orchestration actor
    pub fn new() -> Self {
        Self {
            config: None,
        }
    }
    
    /// Generate test case from specification
    async fn generate_test_case(
        &self,
        specification: Value,
        context: ValueMap,
    ) -> Result<AIResponse> {
        tracing::info!("Generating test case from specification");
        
        // TODO: Implement actual AI test case generation using Lumos.ai
        // This is a placeholder implementation
        
        Ok(AIResponse::Error {
            message: "AI test case generation not yet implemented".to_string(),
        })
    }
    
    /// Analyze test failure
    async fn analyze_failure(
        &self,
        failure: StepResult,
        context: ValueMap,
    ) -> Result<AIResponse> {
        tracing::info!("Analyzing test failure: {}", failure.name);
        
        // TODO: Implement actual AI failure analysis using Lumos.ai
        
        Ok(AIResponse::Error {
            message: "AI failure analysis not yet implemented".to_string(),
        })
    }
    
    /// Optimize test suite
    async fn optimize_suite(
        &self,
        suite: TestSummary,
        metrics: ValueMap,
    ) -> Result<AIResponse> {
        tracing::info!("Optimizing test suite");
        
        // TODO: Implement actual AI suite optimization using Lumos.ai
        
        Ok(AIResponse::Error {
            message: "AI suite optimization not yet implemented".to_string(),
        })
    }
    
    /// Generate assertions for response
    async fn generate_assertions(
        &self,
        response: Value,
        context: ValueMap,
    ) -> Result<AIResponse> {
        tracing::info!("Generating assertions for response");
        
        // TODO: Implement actual AI assertion generation using Lumos.ai
        
        Ok(AIResponse::Error {
            message: "AI assertion generation not yet implemented".to_string(),
        })
    }
    
    /// Process custom AI prompt
    async fn process_prompt(&self, prompt: AIPrompt) -> Result<AIResponse> {
        tracing::info!("Processing AI prompt: {}", prompt.id);
        
        // TODO: Implement actual AI prompt processing using Lumos.ai
        
        Ok(AIResponse::Error {
            message: "AI prompt processing not yet implemented".to_string(),
        })
    }
}

#[async_trait]
impl Actor for AIOrchestrationActor {
    async fn started(&mut self, _ctx: &mut ActorContext) {
        tracing::info!("AIOrchestrationActor started");
    }
}

#[async_trait]
impl Handler<AIMessage> for AIOrchestrationActor {
    async fn handle(&mut self, msg: AIMessage, _ctx: &mut ActorContext) -> AIResponse {
        match msg {
            AIMessage::GenerateTestCase { specification, context } => {
                match self.generate_test_case(specification, context).await {
                    Ok(response) => response,
                    Err(e) => AIResponse::Error {
                        message: e.to_string(),
                    },
                }
            }

            AIMessage::AnalyzeFailure { failure, context } => {
                match self.analyze_failure(failure, context).await {
                    Ok(response) => response,
                    Err(e) => AIResponse::Error {
                        message: e.to_string(),
                    },
                }
            }

            AIMessage::OptimizeSuite { suite, metrics } => {
                match self.optimize_suite(suite, metrics).await {
                    Ok(response) => response,
                    Err(e) => AIResponse::Error {
                        message: e.to_string(),
                    },
                }
            }

            AIMessage::GenerateAssertions { response, context } => {
                match self.generate_assertions(response, context).await {
                    Ok(response) => response,
                    Err(e) => AIResponse::Error {
                        message: e.to_string(),
                    },
                }
            }

            AIMessage::ProcessPrompt { prompt } => {
                match self.process_prompt(prompt).await {
                    Ok(response) => response,
                    Err(e) => AIResponse::Error {
                        message: e.to_string(),
                    },
                }
            }
        }
    }
}
